Time series analysis, or the quest for quantitative measures of time dependent behavior

Authors

  • Alfonso M. Albano ⋅ US Bryn Mawr College, USA
  • Peter D. Brodfuehrer ⋅ US Bryn Mawr College, USA
  • Christopher J. Cellucci ⋅ US Uniformed Services University, USA
  • Xenia T. Tigno ⋅ US University of South Florida, USA
  • Paul E. Rapp ⋅ US Uniformed Services University, USA

Abstract

We review some of the tools used to analyze time series – a sequence of measurements of one or more variables pertaining to the same system. The tools include time-resolved statistics and spectra; autocorrelations, Mutual Information and Transfer Entropy; Complexity and Predictability; and Hypothesis Testing. We illustrate the use of these tools by analyzing extracellular recordings from the leech, vasomotion data from monkeys, and human electroencephalograms.

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Published

2008-10-22

How to Cite

[1]
“Time series analysis, or the quest for quantitative measures of time dependent behavior”, Proc. SPP, vol. 26, no. 1, p. SPP-2008-INV-02, Oct. 2008, Accessed: May 06, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2008-INV-02